Senior Data Analyst (Onsite)

Date Posted:

2026-05-26

Country:

United States of America

Location:

US-FL-MELBOURNE-308 ~ 1100 W Hibiscus Blvd ~ BLDG 308

Position Role Type:

Onsite

U.S. Citizen, U.S. Person, or Immigration Status Requirements:

This job requires a U.S. Person. A U.S. Person is a lawful permanent resident as defined in 8 U.S.C. 1101(a)(20) or who is a protected individual as defined by 8 U.S.C. 1324b(a)(3). U.S. citizens, U.S. nationals, U.S. permanent residents, or individuals granted refugee or asylee status in the U.S. are considered U.S. persons. For a complete definition of “U.S. Person” go here: https://www.ecfr.gov/current/title-22/chapter-I/subchapter-M/part-120/subpart-C/section-120.62

Security Clearance Type:

None/Not Required

Security Clearance Status:

Not Required

At RTX, the world largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world’s most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world.

Collins Aerospace is a leader in technologically advanced, intelligent solutions that help redefine the aerospace and defense industry. With a comprehensive portfolio and deep technical expertise, we help customers meet the demands of the global market. Join us and help shape the future of aerospace and defense.

The Senior Data Analyst – Manufacturing Operations will focus on analyzing data from a manufacturing environment that combines automation and manual assembly practices. The role involves utilizing data to improve production efficiency, ensure quality, and optimize manufacturing processes. The ideal candidate will have experience with industrial data systems and a understanding of manufacturing workflows, including automation and manual assembly techniques.

What You Will Do:

• Collect, clean, and analyze data from a variety of sources, including manufacturing execution systems (MES), automated machinery, and manual operations data logs.
• Develop and maintain dashboards and reports to monitor key manufacturing performance indicators (KPIs) such as cycle time, throughput, downtime, and overall equipment effectiveness (OEE).
• Identify trends and bottlenecks in production workflows, and recommend actionable solutions to improve efficiency and reduce waste.
• Collaborate with cross-functional teams, including production, engineering, quality, and supply chain, to address data-driven challenges and opportunities.
• Work with automation systems to extract and analyze machine performance data, ensuring optimal utilization of automated equipment.
• Support predictive maintenance efforts by analyzing equipment data to forecast potential failures and minimize unplanned downtime.
• Document data analysis processes, methodologies, and results to ensure transparency and repeatability.
• Stay current with industry trends in manufacturing analytics, automation, and Industry 4.0 technologies.

Qualifications You Must Have:

• Typically requires a University Degree and minimum 2 years of prior relevant experience or an Advanced Degree in a related field
• Experience working in a manufacturing or industrial environment, particularly with automated and manual assembly operations.
• Familiarity with data visualization tools like Tableau, Power BI, or similar platforms.

Qualifications We Prefer:

• Experience with analytical tools such as SQL, Python, R, or MATLAB.
• Experience with automation systems, programmable logic controllers (PLCs), and robotics.
• Knowledge of manufacturing systems such as MES, enterprise resource planning (ERP) systems, and supervisory control and data acquisition (SCADA) systems.
• Familiarity with Lean Manufacturing and Six Sigma principles.
• Strong analytical and problem-solving skills with a focus on process optimization.
• Ability to communicate insights and recommendations effectively to both technical and non-technical stakeholders.
• Knowledge of Industry 4.0 technologies, including IoT, AI, and machine learning for manufacturing applications.
• Hands-on experience with manufacturing-specific data sources, such as sensor data, production logs, and quality control metrics.
• Understanding of aerospace and defense manufacturing processes (if applicable to the organization).
   

What We Offer:

Some of our competitive benefits package includes:   

• Medical, dental, and vision insurance  
• Three weeks of vacation for newly hired employees  
• Generous 401(k) plan that includes employer matching funds and separate employer retirement contribution, including a Lifetime Income Strategy option  
• Tuition reimbursement program 
• Student Loan Repayment Program  
• Life insurance and disability coverage  
• Optional coverages you can buy pet insurance, home and auto insurance, additional life and accident insurance, critical illness insurance, group legal, ID theft protection 
• Birth, adoption, parental leave benefits 
• Ovia Health, fertility, and family planning  
• Adoption Assistance           
• Autism Benefit  
• Employee Assistance Plan, including up to 10 free counseling sessions  
• Healthy You Incentives, wellness rewards program 
• Doctor on Demand, virtual doctor visits  
• Bright Horizons, child and elder care services 
• Teladoc Medical Experts, second opinion program  
•  And more!  

Please ensure the role type defined below is appropriate for your needs before applying to this role. This position is classified as:

Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products.

Candidates will learn more about role type and current site status throughout the recruiting process. For onsite and hybrid roles, commuting to and from the assigned site is the employee’s personal responsibility.

As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote.

The salary range for this role is 68,900 USD - 131,100 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate’s work experience, location, education/training, and key skills.

Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement.

Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company’s performance.

This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply.

RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window.

RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans’ Readjustment Assistance Act.

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